Deep Learning For Retail

AI from supply chain to customer sentiment

A New Era of Retail Enabled By AI

The landscape of traditional retail is experiencing a seismic shift. A rapidly evolving competitive environment, a global move towards digital shopping, and the ever-changing sentiments of highly informed buyers are forcing a new perspective in the industry. From this new perspective, we’re seeing the adoption of accelerated analytics, robotics, and deep learning.

The use of artificial intelligence in retail spans every aspect of the industry. Whether your goal is to optimize your supply chain, use existing data to increase conversion, or customize shopping experiences with predictive modeling and micro-targeting/pricing, AI can help you meet your challenge.

WHAT ARE THE TRENDS DRIVING CHANGE IN RETAIL TODAY?

Change in the retail industry has been accelerated by new competitors and the massive global digital transformation over the last few years. Underlying this are two trends driven by technology.

Today's robots can do more than just perform tasks. They can learn, adapt, and evolve using capabilities like machine learning, computer vision, navigation, and more. NVIDIA® Jetson™ uses the power of deep learning to drive this exciting new era of Retail—from manufacturing and supply chain to shopping and in-store experience.

LoweBot, a Jetson TX1-powered NAVii robot uses voice recognition and an onboard touchscreen display to navigate aisles autonomously. When in a Wi-Fi denied environment, it uses cameras and odometry to find its destination.

Jeans, sneakers, and a hoodie. The standard dress code in Silicon Valley is familiar. But that hasn’t stopped the tech industry from using AI to help people find the clothes, make-up and accessories, tailor-made to their style.

You ask, AI delivers. At least, that’s the concept that Kevin Peterson is trying to achieve with his robotics company, Marble. It recently made news for deploying food delivery robots onto the streets of San Francisco.